Rheumatology, La Paz University Hospital, Madrid, Spain
Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain.
RMD Open. 2023 Sep;9(3). doi: 10.1136/rmdopen-2023-003382.
To analyse the trajectories of Disease Activity Score 28 (DAS28), patient global assessment (PGA) and physician global assessment (PhGA) and to assess their predictive capabilities on difficult-to-treat rheumatoid arthritis (D2TRA) classification.
Longitudinal study of patients with rheumatoid arthritis (RA) from 2020 to 2022. Based on the D2TRA EULAR (European Alliance of Associations for Rheumatology) definition, patients were classified as D2TRA according to biological or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) failure due to inefficacy (D2TRA-inefficacy) or other reasons (D2TRA-other). Patients who did not fulfil the D2TRA criteria were classified as NoD2TRA. DAS28, PGA and PhGA scores collected every 6 months during the first 24 months of b/tsDMARD treatment were used to identify different trajectories using latent class mixed models (LCMM).
The study population comprised 255 patients with RA, of whom 167 were NoD2TRA, 58 D2TRA-inefficacy and 30 D2TRA-other. LCMM stratified patients into two different trajectories for DAS28 and PhGA and three for PGA according to the most stable model. The most notable variation occurred during the first 6 months of treatment, thereafter remaining stable during the follow-up period. Most D2TRA-inefficacy patients fitted the trajectory, showing higher values of the studied parameters. NoD2TRA followed the trajectory with lower values, and D2TRA-other were distributed more homogeneously across all trajectories.
The assessment of disease activity, together with patients' and physicians' perceptions, form a key element in the correct discrimination of patients who are going to develop D2TRA-inefficacy. However, identifying those patients who will be D2TRA-other remains challenging, whether by subjective or objective parameters.
分析疾病活动评分 28(DAS28)、患者总体评估(PGA)和医生总体评估(PhGA)的轨迹,并评估它们对难治性类风湿关节炎(D2TRA)分类的预测能力。
对 2020 年至 2022 年的类风湿关节炎(RA)患者进行纵向研究。根据 D2TRA EULAR(欧洲抗风湿病联盟)定义,根据生物制剂或靶向合成改善病情抗风湿药物(b/tsDMARDs)治疗失败的原因(疗效不佳[D2TRA-inefficacy]或其他原因[D2TRA-other]),将患者分为 D2TRA。未符合 D2TRA 标准的患者被归类为 NoD2TRA。在 b/tsDMARD 治疗的前 24 个月内,每 6 个月采集一次 DAS28、PGA 和 PhGA 评分,用于使用潜在类别混合模型(LCMM)识别不同的轨迹。
该研究人群包括 255 例 RA 患者,其中 167 例为 NoD2TRA,58 例为 D2TRA-inefficacy,30 例为 D2TRA-other。LCMM 根据最稳定的模型将患者分为 DAS28 和 PhGA 的两种不同轨迹和 PGA 的三种轨迹。最明显的变化发生在治疗的前 6 个月,此后在随访期间保持稳定。大多数 D2TRA-inefficacy 患者符合该轨迹,表现出更高的研究参数值。NoD2TRA 遵循轨迹,数值较低,而 D2TRA-other 则均匀分布在所有轨迹中。
疾病活动的评估以及患者和医生的感知是正确区分将要出现 D2TRA-inefficacy 的患者的关键要素。然而,无论是通过主观还是客观参数,识别那些将成为 D2TRA-other 的患者仍然具有挑战性。